Paper title: MULTIOBJECTIVE OPTIMAL DESIGN OF DUAL-INPUT POWER SYSTEM STABILIZER USING GENETIC ALGORITHMS
Author(s): HILAL LABDELAOUI, FARES BOUDJEMA, DJAMEL BOUKHETALA,
Abstract: This paper presents an optimal design approach of power system stabilizer (PSS) using multiobjective genetic algorithms. The
PSS design is formulated as a multiobjective optimization problem which involves two conflicting performance criteria: the
robustness and the transient performance of the closed-loop system. The proposed approach is applied to a single-machine
infinite-bus system considering the conventional speed-based lead-lag PSS and a dual-input PSS which uses the accelerating
power as an additional input. The optimization results show that trade-offs exist between the two objective functions of the
problem resulting in a set of optimal solutions rather than a unique optimal solution. It is also found that the best trade-off
according to Pareto dominance is provided by the dual-input PSS.
Keywords: Dual-input power system stabilizer, Robust design, Non-dominated sorting genetic algorithm-II, Single-machine
infinite-bus Year: 2017 | Tome: 62 | Issue: 1 | Pp.: 93-97
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